Research Intern

About the Role

Rhoda AI is seeking Research Interns, targeting PhD students close to graduation (as well as exceptional Masters/BS students), to contribute to major research and engineering efforts. The goal is a potential full-time offer post-internship.

What You'll Work On

Your work will be project-specific, focusing on areas such as:

• Large-scale video-based robot policy learning
• Multimodal/VLM architectures
• Simulation
• Robotics-adjacent systems like SLAM and navigation

You will contribute directly to a major, ongoing research project in close partnership with your mentor and the research team.

Requirements & Tech Stack

• Currently pursuing (or recently completed) a PhD in Computer Science, Robotics, Machine Learning, or a related field; close to graduation preferred.
• Strong Masters/BS candidates with equivalent research experience will be considered.
• Strong foundation in deep learning.
• Hands-on experience training and debugging large models.
• Solid software engineering skills; comfortable writing production-quality research code.
• Experience with one or more of the following:
• Video/generative models
• VLMs or multimodal architectures
• Robot learning
• Simulation environments (e.g., MuJoCo, Isaac Sim, Habitat)
• SLAM/navigation
• Track record of independent research; publications are a plus but not required.
• Comfortable working in a fast-moving, resource-constrained startup research environment.

The Internship Experience

• Direct collaboration with an assigned mentor from day one, with regular guidance and feedback.
• Access to compute resources scoped to your project.
• Structured interview process (domain knowledge + coding), mid-internship check-in, and end-of-internship evaluation.
• Opportunity to work on problems relevant to a real generalist-robotics product.